Daheng He

1.6k total citations · 1 hit paper
45 papers, 1.1k citations indexed

About

Daheng He is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Daheng He has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in Daheng He's work include Prostate Cancer Treatment and Research (10 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Cancer, Lipids, and Metabolism (4 papers). Daheng He is often cited by papers focused on Prostate Cancer Treatment and Research (10 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Cancer, Lipids, and Metabolism (4 papers). Daheng He collaborates with scholars based in United States and China. Daheng He's co-authors include Chi Wang, Tianyan Gao, Zijian Xie, Zhichuan Li, Xiaoyu Cui, Hui Yu, Moumita Banerjee, Liquan Cai, B. Mark Evers and Chi Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Daheng He

43 papers receiving 1.1k citations

Hit Papers

Na/K-ATPase Y260 Phosphorylation–mediated Src Regulation ... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daheng He United States 14 482 224 141 128 103 45 1.1k
Yichi Zhang China 24 669 1.4× 212 0.9× 117 0.8× 116 0.9× 152 1.5× 93 1.5k
Lingbo Liu China 20 610 1.3× 200 0.9× 115 0.8× 97 0.8× 103 1.0× 68 1.6k
Yiman Liu China 18 411 0.9× 137 0.6× 77 0.5× 82 0.6× 124 1.2× 71 1.1k
Yingying Wang China 26 729 1.5× 204 0.9× 303 2.1× 123 1.0× 109 1.1× 112 1.6k
Dongdong Zhang China 21 478 1.0× 267 1.2× 65 0.5× 71 0.6× 92 0.9× 95 1.3k
Fengzhen Wang China 19 626 1.3× 252 1.1× 72 0.5× 65 0.5× 181 1.8× 89 1.5k
Miaomiao Yu China 20 495 1.0× 114 0.5× 82 0.6× 82 0.6× 128 1.2× 92 1.1k
Zhiyuan Lu China 20 395 0.8× 250 1.1× 128 0.9× 55 0.4× 61 0.6× 74 1.0k
Xinbao Wang China 20 321 0.7× 131 0.6× 112 0.8× 164 1.3× 97 0.9× 75 1.3k
Jiabo Li China 19 487 1.0× 159 0.7× 136 1.0× 78 0.6× 317 3.1× 60 1.4k

Countries citing papers authored by Daheng He

Since Specialization
Citations

This map shows the geographic impact of Daheng He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daheng He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daheng He more than expected).

Fields of papers citing papers by Daheng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daheng He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daheng He. The network helps show where Daheng He may publish in the future.

Co-authorship network of co-authors of Daheng He

This figure shows the co-authorship network connecting the top 25 collaborators of Daheng He. A scholar is included among the top collaborators of Daheng He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daheng He. Daheng He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yanquan, Jinghui Liu, Daheng He, et al.. (2025). The kinase PLK1 promotes Hedgehog signaling–dependent resistance to the antiandrogen enzalutamide in metastatic prostate cancer. Science Signaling. 18(878). eadi5174–eadi5174. 5 indexed citations
2.
Liu, Jinghui, Xinyi Wang, Daheng He, et al.. (2025). Therapeutic targeting of the p300/CBP bromodomain enhances the efficacy of immune checkpoint blockade therapy. Oncogene. 44(28). 2386–2395. 4 indexed citations
3.
Banerjee, Moumita, Haoming Wu, Shaghayegh Norouzi, et al.. (2025). Neurotensin promotes hepatic steatosis by regulating lipid uptake and mitochondrial adaptation in hepatocytes. Cell Death and Disease. 16(1). 347–347. 1 indexed citations
5.
Kong, Yifan, Jinpeng Liu, Sai Wu, et al.. (2024). Single-cell analysis identifies PLK1 as a driver of immunosuppressive tumor microenvironment in LUAD. PLoS Genetics. 20(6). e1011309–e1011309. 6 indexed citations
6.
Zhang, Yanquan, Ka-wing Fong, Fengyi Mao, et al.. (2024). Elevating PLK1 overcomes BETi resistance in prostate cancer via triggering BRD4 phosphorylation-dependent degradation in mitosis. Cell Reports. 43(7). 114431–114431. 9 indexed citations
8.
Tripathi, R. P., Daheng He, Yuanyuan Wu, et al.. (2023). ABL1/2 and DDR1 Drive MEKi Resistance in NRAS-Mutant Melanomas by Stabilizing RAF/MYC/ETS1 and Promoting RAF Homodimerization. Cancers. 15(3). 954–954. 3 indexed citations
9.
Liu, Jinghui, Yue Zhao, Daheng He, et al.. (2023). A kinome-wide CRISPR screen identifies CK1α as a target to overcome enzalutamide resistance of prostate cancer. Cell Reports Medicine. 4(4). 101015–101015. 10 indexed citations
10.
Cui, Xiaojing, Cuiping Zhang, Fang Wang, et al.. (2023). Latexin regulates sex dimorphism in hematopoiesis via gender-specific differential expression of microRNA 98-3p and thrombospondin 1. Cell Reports. 42(3). 112274–112274. 3 indexed citations
11.
Guo, Yubin, Qing Ye, Deng Pan, et al.. (2023). Abstract 295: Targeting spermine synthase triggers lipid metabolism reprogramming as a new therapeutic option to combat colorectal cancer. Cancer Research. 83(7_Supplement). 295–295. 1 indexed citations
12.
Zhang, Zhuangzhuang, Lijun Cheng, Jie Li, et al.. (2022). Targeting Plk1 Sensitizes Pancreatic Cancer to Immune Checkpoint Therapy. Cancer Research. 82(19). 3532–3548. 36 indexed citations
13.
Zhang, Zhuangzhuang, Lijun Cheng, Yifan Kong, et al.. (2021). Co‐Targeting Plk1 and DNMT3a in Advanced Prostate Cancer. Advanced Science. 8(13). e2101458–e2101458. 13 indexed citations
14.
Xie, Yanqi, Vitaliy M. Sviripa, Xi Chen, et al.. (2021). Potent Synergistic Effect on C-Myc–Driven Colorectal Cancers Using a Novel Indole-Substituted Quinoline with a Plk1 Inhibitor. Molecular Cancer Therapeutics. 20(10). 1893–1903. 6 indexed citations
15.
Fan, Teresa W.‐M., Richard M. Higashi, Huan Song, et al.. (2021). Innate immune activation by checkpoint inhibition in human patient-derived lung cancer tissues. eLife. 10. 21 indexed citations
16.
Rychahou, Piotr, Daheng He, Naser Jafari, et al.. (2020). Inhibition of Fatty Acid Synthase Upregulates Expression of CD36 to Sustain Proliferation of Colorectal Cancer Cells. Frontiers in Oncology. 10. 1185–1185. 76 indexed citations
17.
Tripathi, R. P., Zulong Liu, Aditi Jain, et al.. (2020). Combating acquired resistance to MAPK inhibitors in melanoma by targeting Abl1/2-mediated reactivation of MEK/ERK/MYC signaling. Nature Communications. 11(1). 5463–5463. 33 indexed citations
18.
Li, Chaohao, Nadia A. Lanman, Yifan Kong, et al.. (2020). Inhibition of the erythropoietin-producing receptor EPHB4 antagonizes androgen receptor overexpression and reduces enzalutamide resistance. Journal of Biological Chemistry. 295(16). 5470–5483. 10 indexed citations
19.
Hensley, Patrick J., et al.. (2019). Predictive value of phenotypic signatures of bladder cancer response to cisplatin-based neoadjuvant chemotherapy. Urologic Oncology Seminars and Original Investigations. 37(9). 572.e1–572.e11. 12 indexed citations
20.
Gardner, Susan & Daheng He. (2011). A T-odd Momentum Correlation in Radiative Beta Decay. Bulletin of the American Physical Society. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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